Papers
54
Total Citations
554
H-Index
14
About
Hongliu Yu is a prominent biomedical robotics researcher whose work sits at the intersection of rehabilitation engineering, human-robot interaction, and assistive technology. His research centers on the design and control of upper-limb exoskeleton robots, with sustained contributions to stroke rehabilitation systems that integrate virtual reality, surface electromyography (sEMG), and advanced control strategies. Yu's early survey on sEMG-based hand exoskeleton control (2017) established a foundational reference for the field, while his subsequent development of VR-integrated rehabilitation platforms and wheelchair-mounted powered exoskeletons demonstrated a consistent drive to translate theory into clinically meaningful devices. His investigations using functional near-infrared spectroscopy (fNIRS) to measure cortical activation during robotic training offer rare neurophysiological insight into how training modalities and multi-sensory feedback affect brain engagement. Yu has also advanced soft robotics through shape memory alloy (SMA) actuator modeling and exoskeleton design, and contributed novel impedance learning control frameworks for safer human-robot physical interaction. Complementing this work, his I-Feed assistive feeding robot addresses real-world needs of elderly and disabled populations. Collectively, his papers have garnered over 230 citations, reflecting broad and growing influence across rehabilitation robotics and assistive technology communities.
Research Focus
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Top Papers
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